Graph-Grammar Assistance for Modeling of Decisions

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Citation: John W. Egar and Angel R. Puerta and Mark A. Musen. (1992) Graph-Grammar Assistance for Modeling of Decisions. In KSL-92-42, 1992.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author John W. Egar and Angel R. Puerta and Mark A. Musen
title Graph-Grammar Assistance for Modeling of Decisions
number KSL-92-42
institution Knowledge Systems, AI Laboratory
address Banff, Alberta, Canada
year 1992
Bibtex more
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abstract One of the most difficult aspects of modeling complex dilemmas in decision-analytic terms is composing a diagram of relevance relations from a set of domain concepts. The concepts, as presented to the modeler, generally have no inherent order, yet they have characteristic positions and typical roles in a semantic network model. We have been using a graph-grammar production system to express such inherent interrelationships among terms. We have found that this graph-grammar system facilitates the modeling of dilemmas. We also suggest a translate-and-assemble perspective for certain knowledge-acquistion problems. According to this perspective, we can convert an unordered set of terms into a set of symbols, and them assemble an appropriate model from those symbols according to prototypical patterns. We show that graph grammars, and the translate-and-assemble perspective, are useful guides to modeling in a circumscribed domain.

KSL Technical Report ID: KSL-92-42
Facts about Graph-Grammar Assistance for Modeling of DecisionsRDF feed
Abstract One of the most difficult aspects of model … One of the most difficult aspects of modeling complex dilemmas in decision-analytic terms is composing a diagram of relevance relations from a set of domain concepts. The concepts, as presented to the modeler, generally have no inherent order, yet they have characteristic positions and typical roles in a semantic network model. We have been using a graph-grammar production system to express such inherent interrelationships among terms. We have found that this graph-grammar system facilitates the modeling of dilemmas. We also suggest a translate-and-assemble perspective for certain knowledge-acquistion problems. According to this perspective, we can convert an unordered set of terms into a set of symbols, and them assemble an appropriate model from those symbols according to prototypical patterns. We show that graph grammars, and the translate-and-assemble perspective, are useful guides to modeling in a circumscribed domain. des to modeling in a circumscribed domain.
Address Banff, Alberta, Canada  +
Author John W. Egar and Angel R. Puerta and Mark A. Musen  +
Bibtype techreport  +
Has author John W. Egar and Angel R. Puerta and Mark A. Musen  +
Has identifier KSL-92-42  +
Has publishing details 1992  +
Has title Graph-Grammar Assistance for Modeling of Decisions  +
Has where published KSL-92-42  +
Has year 1992  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-92-42  +
Number KSL-92-42  +
Process note YES  +
Title Graph-Grammar Assistance for Modeling of Decisions  +
Year 1992  +
Retrieved from "http://tw.rpi.edu/wiki/Graph-Grammar_Assistance_for_Modeling_of_Decisions"
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